本論文所要探討與研究的目標是將細胞的三維資訊加以運用作細胞聚落與其內細胞的追蹤,對象為三維共軛焦顯微鏡細胞影像之時序列三維細胞動態資料結構,運用其內部的質心點位置資訊,加以發展出一套以最短距離為基礎的追蹤演算法,先進行細胞聚落的追蹤,再個別針對追蹤後的細胞聚落其內細胞做進一步追蹤,透過多核對多核的交叉運算與比對,將最合理的結果互相標記並存於動態資料結構中,最後利用三維散點圖繪出結果,各散點代表各細胞之質心點位置,以相同顏色代表屬於同一細胞聚落,並以連線的方式展示有追蹤對應關係之細胞,同時也將部分區域之細胞繪製成細胞3D圖,以相同顏色代表同一細胞,以此將細胞對應結果可視化。 本方法因是運用建立好的三維細胞資訊,因此使用較為人工計算的方式來設計演算法,但也因為有三維的細胞資訊,所以每個細胞追蹤的結果與細胞本身的資訊都能個別清楚標明,對於日後要對三維細胞資料化也相當方便且直觀。
The purpose of this paper is to use the three-dimensional information of cells to track cell colonies and their inner cells. The object of the study is the structure of three-dimensional cell dynamic data of time series of three-dimensional conjugate focal microscope images. Based on the position information of the centroid point, a tracking algorithm based on the shortest distance is developed. Firstly, the colonies is tracked, and then use the results of colonies’ tracking to further track the inner cells of the colonies. Through the cross operation of multi check on centroid point, the most reasonable results are marked and recorded in the dynamic data structure. Finally, three-dimensional scatter plot was used to draw the results. Each scatter represents the position of the centroid of each cell, and the same color represents the same cell colony. The cells with tracking corresponding relationship are displayed in the form of line, at the same time, the cells in some regions were drawn into cell 3D map, and the same color was used to represent the same cell. This method uses the established three-dimensional cell information, so it uses a more manual calculation method to design the algorithm. However, because of the three-dimensional cell information, the tracking results of each cell and the information of the cell itself can be clearly marked individually, which is quite convenient and intuitive for future 3D cell data.